wolof-finetuned-ner
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3572
- Precision: 0.7719
- Recall: 0.8980
- F1: 0.8302
- Accuracy: 0.9845
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 226 | 0.3649 | 0.7690 | 0.8605 | 0.8122 | 0.9852 |
| No log | 2.0 | 452 | 0.3350 | 0.8088 | 0.8776 | 0.8418 | 0.9861 |
| 0.4546 | 3.0 | 678 | 0.3737 | 0.7842 | 0.8776 | 0.8283 | 0.9848 |
| 0.4546 | 4.0 | 904 | 0.3271 | 0.7713 | 0.8946 | 0.8283 | 0.9841 |
| 0.0992 | 5.0 | 1130 | 0.3572 | 0.7719 | 0.8980 | 0.8302 | 0.9845 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3